Dávid Melhárt

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dávid Melhárt trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. David G. Lowe
  2. Vladimir Naumovich Vapnik
  3. ByoungChul Ko
  4. Navneet Dalal
  5. Heechul Jung

Papers from Dávid Melhárt's perspective

Ordered by how strongly the researchers Dávid Melhárt trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Histograms of oriented gradients for human detection
  3. Distilling the Knowledge in a Neural Network (arXiv.org)
  4. Gradient-based learning applied to document recognition
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. A new learning paradigm: Learning using privileged information
  9. Learning using privileged information: similarity control and knowledge transfer
  10. Going deeper with convolutions

Their papers